Sr. AI/ML Engineer

Artificial Intelligence, Bangalore, India

Sr. AI/ML Engineer

Job Summary

We are seeking a Senior AI/ML Engineer to join the Edwin AI team. In this key role, you will design, build, and deploy AI-powered solutions that enhance observability, automation, and insights across LogicMonitor s platform. You will be responsible for developing some NLP models, generative AI solutions, and AI-driven analytics that drive automation and efficiency. You will work closely with cross-functional teams, including product, engineering, and infrastructure teams, to integrate state-of-the-art AI models into LogicMonitor s observability platform.

Responsibilities

• LLM NLP-Powered Insights for Observability: Build and optimize large language model (LLM)-based solutions that generate human-readable incident reports, root cause explanations, and remediation suggestions. Leverage retrieval-augmented generation (RAG) to surface relevant documentation, logs, and knowledge base insights for IT teams.
• AI-Powered Search Observability Context Awareness: Develop semantic search and context-aware retrieval solutions to help IT teams quickly find relevant data, logs, and metrics.
• Scalability Deployment in Cloud Environments: Optimize AI models for real-time performance in distributed, cloud-native environments (AWS, GCP, Kubernetes, etc.).
• Collaboration Thought Leadership: Work cross-functionally with platform engineers, product teams, and data scientists to align AI-driven features with customer needs.
• AI first attitude: Stay ahead of AI/ML advancements.

What You ll Need

• 4-5 years of experience in AI/ML engineering, with a focus on generative AI, and AI-driven automation and NLP.
• Strong proficiency in Python, Java, or similar languages for AI model development and deployment.
• Hands-on experience with LLMs, RAG (Retrieval-Augmented Generation), and prompt engineering.
• Expertise in embedding-based search, semantic retrieval, and transformer models (e.g., OpenAI, Hugging Face).
• Experience with microservices, REST APIs, and cloud platforms (AWS, GCP, Kubernetes, Docker, etc.).
• Strong understanding of search algorithms, ranking techniques, and text clustering methods.
• Familiarity with observability, ITOps, or monitoring platforms is a plus.
• Strong problem-solving skills with the ability to drive innovation in AI-powered observability solutions.
• Excellent communication and collaboration skills, with experience working in cross-functional teams.

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